Turning GPT-6 Astra into a parallel compiler with 6 open-source repos
The author splits coding tasks across build lanes using LangGraph, Serena, tree-sitter, E2B, pytest and Dagger, leaving Astra to handle hard decisions.
GPT 6 Astra + GitHub can become a f...cking parallel compiler 6 open source repos are enough to split one coding task across independent build lanes 01 LangGraph ▸https://github.com/langchain-ai/langgraph → controls parallel workers without collapsing everything into one agent loop 02 Serena ▸ https://github.com/oraios/serena → maps symbols, references and dependencies before work gets split 03 Tree sitter ▸https://github.com/tree-sitter/tree-sitter → gives workers a real syntax tree instead of making them reason over raw text 04 E2B ▸ https://github.com/e2b-dev/E2B → isolates each build lane for commands, installs and generated code 05 pytest ▸https://github.com/pytest-dev/pytest → rejects broken outputs before they reach the final build 06 Dagger ▸ https://github.com/dagger/dagger → packages the passing artifacts into reproducible build jobs The part I’d steal from the video OPT removes wasted passes LINK only combines artifacts that already proved they work GPT 6 Astra stays on the hard decisions the compiler handles the volume
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